At the NodeSummit.com we talked in great length around IO Centric Infrastructure (see clip below of me and David Floyer talk about this in detail – David Floyer provided his analysis. Blog post here —
Real-time analysis enables a whole new class of applications possible. These real-world applications include:
1. The capture and analysis of real-time performance data from large populations smart machines such as refrigerators, washing machines, driers, etc., to identify developing problems early, allowing service providers to intervene before the unit fails.
2. Real-time monitoring of tens of thousands patients with smart implantable medical devices such as heart defibrillators to identify early signs of heart or other medical emergencies and literally save people’s lives.
Monitoring of large transportation system such as railroads to identify problems ranging from “hot boxes” (locked air brakes on a freight car) to incipient failures of a track joint to head off derailments.
3. Analysis of credit card use over large populations to identify fraud.
All of these and others are already in use in small scale experiments but need the kind of very large scale, near real-time, atomic write data capture that persistent flash memory provides in this configuration for the first time. The implications, Floyer argues, are staggering.